Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Summary

A reader-friendly approach to understanding forecasting. Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.

Table of Contents

Chapter 1: Introduction and Context

Chapter 2: A Review of Basic Statistics Concepts and the Linear Regression Model

Chapter 3: Statistics and Time Series

Chapter 4: Tools of the Forecaster

Chapter 5: Understanding Linear Dependence: A Link to Economic Models

Chapter 6: Forecasting with Moving Average (MA) Processes

Chapter 7: Forecasting with AutoRegressive (AR) Processes

Chapter 8: Forecasting Practice: Modeling San Diego House Price Index

Chapter 9: Assessment of Forecasts and Combination of Forecasts

Chapter 10: Forecasting the Long Run: Deterministic and Stochastic Trends

Chapter 11: Forecasting with a System of Equations: Vector AutoRegression

Chapter 12: Forecasting the Long Run and the Short Run Jointly: Cointegration and Error Correction Models